Yih-Kuen Tsay's Wiki @ IM.NTU

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======IM Seminar, Spring 2024======
This course consists of a series of speeches (mostly in Mandarin Chinese) by researchers, experts, and managers from the public and private sectors that are related to the field of Information Technology and Management. Its purpose is to expose the students to current topics and issues in the subject field. Each talk will be about 70 to 80 minutes long, followed by a 10 to 20 minutes discussion session.

=====Announcements=====
  * 03/25: a helpful tutorial: [[https://www.youtube.com/watch?v=2IK3DFHRFfw&t=65s|Generative AI in a Nutshell - how to survive and thrive in the age of AI]].
  * 03/16: by the request of the 3/15 speaker Alex Chu: [[https://events.nvidia.com/nvidiaopendaytechgirlcareerwor?fbclid=IwAR1xNuTVegLxEYMK_LgaEcjGPb8FzFnnmMN-svZmgeJeQnlh_RRrSNFtpIc_aem_AXTW7RVDkUmQt7eL6nnjv2jI-xYi9BqyBgRy9sFfQHr2OKILa2Em3lZXr9-omYg-Rso|Tech Women Connect at NVIDIA March 27, 2024]].
  * 03/09: for some of the talks, we have collected an abstract and/or a short biography of the speaker; click on the date of a talk in the schedule to view such further information.
  * 03/02: the course requirements and grading rules, as stated in the relevant sections of this page, are now final and will not be changed. Any unforeseen issue shall be resolved in a manner that is fair to all.
  * 02/25: submit [[https://forms.gle/a8dyrHQEN77xHNTJ6|here]] your questions and answers for the talks.
  * 02/24: details of the course requirements and grading rules available; see the relevant sections of this page. To be finalized on 03/01.
  * 02/22: this website created to complement the NTU COOL sites for the three editions of this course.

=====Instructor (Organizer)=====
[[http://im.ntu.edu.tw/~tsay/|Yih-Kuen Tsay (蔡益坤)]], NTU IM Dept., 3366-1189, ''Xtsay@ntu.edu.twX'' (between the enclosing pair of X's).

=====Lectures=====
Friday 2:20~4:20PM, Room 206, Management Building 2.

=====Office Hours=====
Tuesday 1:30~2:00PM, Wednesday 1:30~2:00PM, or by appointment, Room 1108,
Management Building 2.

=====TA=====
Yuan-Ting Lin (林元婷), ''Xr11725022@ntu.edu.twX'' (between the enclosing pair of X's).

=====Syllabus/Schedule=====

(Click on the date for further information, if available.)

^ Date ^ Title ^ Speaker ^ Notes ^
| 02/23 | **課程簡介** | The Instructor and TA | |
| 03/01 | **ChatGPT在台積電的應用** | **張煥永** 台積電部經理、**林世鵬** 台積電部經理 | |
| [[0308|03/08]] | **Psychological Aspects of Price: Some Things We Have Learned** | **Prof. Russell Winer**, NYU | Invited by Prof. M.-H. Huang |
| [[0315|03/15]] | **RTX for AI: AIPC Enables the New Era** | **邾亦為 Alex Chu** NVIDIA台灣區協理 and **Alan Rau** NVIDIA APAC Senior PM | Invited by Prof. Tim Chou |
| [[0322|03/22]] | **Highlights of NVIDIA SDKs in Quantum Computing, Machine Learning, Robotics and Physics AI** ([[https://drive.google.com/file/d/1nFK2_0iAJmUSikqc7ByLcmGPfYeTAWLc/view?usp=sharing|slides]])| **Dr. Cheng-Kuang (CK) Lee** NVIDIA Senior Solution Architect | Invited by Prof. Tim Chou |
| [[0329|03/29]] | **LLM in Action: Building RAG with NVIDIA Platforms** ([[https://docs.google.com/presentation/d/1M-vOnhDaR9DiURdjlKxPOecEauBLCK5h/edit?usp=sharing&ouid=108982896874026508980&rtpof=true&sd=true|slides]]) | **黃威仁 博士 Dr William Wong** NVIDIA Developer Relations Manager | Invited by Prof. Tim Chou |
| 04/05 | 國定假日，無演講安排 | N/A | |
| [[0412|04/12]] | **Leadership in Global Startup Accelerators and Venture Capital: Case Study in Innovation, Ecosystem and Venture Capital
全球創業加速器和創投領域的領導者：創新、創業生態系和創投案例分享** | **David Hong**, Founder & Managing Partner, King’s College London Alumni Angel Network | Recommended by Prof. Y.-J. Joung |
| 04/19 | **生成式AI + 元宇宙** (闡述Sora、ChatGPT、Midjourney等生成式AI與元宇宙的交互應用) | **鄭義錡** 能火動畫共同創辦人 | Recommended by Prof. Robin Chen |
| [[0426|04/26]] | **心與腦的模擬：類神經網路、人工智慧、機器人** | **黃從仁 博士** 臺大心理系副教授 | |
| 05/03 | **台積電智能製造AI應用** | **彭鼎鈞** 台積電智能製造中心 視覺暨數值人工智慧產品化部 部經理 | |
| 05/10 | | | |
| 05/17 | **In the LLM Era: Developing an RAG-based QA System for Organizations** | **古倫維 博士** 中研院資訊所研究員 | | 
| 05/24 | | **林裕欽** Dcard共同創辦人暨執行長 | |
| 05/31 | | **程世嘉** iKala創辦人暨執行長 | |
| 06/07 | 期末考週，無演講安排 | N/A | |


=====Requirements =====
The students are required to 

  * attend all talks,
  * actively participate in discussions, and
  * write reviews for any four talks between 3/1 and 5/31 (inclusive).

Attendance: \\
You must sign in before every class meeting; arriving late or failing to sign in is considered to be absent.
Any leave of absence must be formally requested through the appropriate NTU site.
Ph.D. students may request one week in advance to substitute an external talk (e.g., in the College of Management or EECS) for any talk, but may do so at most six times.

Discussion participation: \\
You are expected to turn in, through the [[https://forms.gle/a8dyrHQEN77xHNTJ6|Google form]] provided by TA, at least two questions that you ask (during or after class) and the (probably abridged) answers to them (by the speaker or through your own investigation).
Each question and its answer should contain no more than 250 words in total and are due by 2:20PM of the Friday following the targeted talk.
No late submission will be accepted.

Reviews: \\
Each review should be about 1000 to 1200 words long and is due by 2:20PM of the Friday following the reviewed talk. 
Submission must be made through the NTU COOL sites.  
No late submission will be accepted.

Use of AI tools: \\
You may use generative AI tools, such as ChatGPT, to help you write the questions and answers and the reviews.
In that case, you must clearly indicate in relevant writings how you have used the tool(s).

=====Grading =====
Attendance 40 points (40%), Discussion Participation 20 points (20%), Reviews 40 points (40%). \\

The total is your raw score, whose rank among the whole class determines your letter grade.

Penalty for absence: \\
First time 5 points, second time 5 points, third time 10 points, fourth time 10 points, fifth time 10 points.

Crediting for discussion participation: \\
If you turn in at least two good questions and answers, you should get at least 16 points.
You are encouraged to pursue the full score (20 points) by submitting additional, but no more than four, questions and answers.

Scoring of reviews: \\
The reviews for a same talk will be evaluated and categorically ranked according to their overall qualities; an average review should get around 8 points.
Only four of your reviews will be counted towards your grade.
You may request to withdraw at most one review, when you are not satisfied with the score it gets.
Yih-Kuen Tsay's Wiki @ IM.NTU

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